Contexte

Chaque enregistrement correpond à un patient qui a réalisé une ponction lombère (LCR). Une LCR n’étant pas réalisée pour des raisons mineurs, tous les patients de la BDD ont présentés des problèmes cognitifs.

Objectif

L’objectif de l’étude est d’analyser l’association entre différents biomarqueurs sanguins et les protéines Abeta et tau, marqueurs de la maladie d’Alzheimer.

Analyses des variables

Dimension de la BDD

## [1] "Nombre d'observations : 1804"

## [1] "Nombre de variables : 180"

Variables socio-démographique

Age

Summary

Boxplot

Histogramme

## $breaks
##  [1] 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95
## 
## $counts
##  [1]   1   0   1   2   3  12  38 105 170 237 382 364 289 159  40   1
## 
## $density
##  [1] 0.0001108647 0.0000000000 0.0001108647 0.0002217295 0.0003325942
##  [6] 0.0013303769 0.0042128603 0.0116407982 0.0188470067 0.0262749446
## [11] 0.0423503326 0.0403547672 0.0320399113 0.0176274945 0.0044345898
## [16] 0.0001108647
## 
## $mids
##  [1] 17.5 22.5 27.5 32.5 37.5 42.5 47.5 52.5 57.5 62.5 67.5 72.5 77.5 82.5 87.5
## [16] 92.5
## 
## $xname
## [1] "d"
## 
## $equidist
## [1] TRUE
## 
## attr(,"class")
## [1] "histogram"

Sexe

Distribution

Niveau d’étude

Légende

1 = non scolarisé
2 = primaire sans diplôme
3 = certificat d’études
4 = secondaire (collège/CAP/brevet)
5 = secondaire (BEP/lycée)
6 = baccalauréat
7 = études supérieures
8 = non renseigné

Modalités normales

Recodage des Modalités

Barplot

Statut Marital

Distribution

Barplot

## [1] "Jamais marié"      "Divorcé"           "Marié / en couple"
## [4] "Veuf"

Nombre d’enfants

Modalités normales

Recodage des Modalités

Barplot

Mode de vie

Distribution

Barplot

Comportement de santé

Tabac

Distribution

Barplot

Alcool

Distribution

Barplot

Variables de santé

IMC

Summary

Boxplot

Histogramme

Découpage

Barplot

## [1] "Insuffisance pondérale"     "Corpulence normale"        
## [3] "Obésité modérée"            "Obésité morbide ou massive"
## [5] "Obésité sévère"             "Surpoids"

Fréquence Cardiaque

Summary

Boxplot

Histogramme

Distribution

Tension Artérielle Systolique

Summary

Boxplot

Histogramme

Tension Artérielle Diastolique

Summary

Boxplot

Histogramme

Hyper Tension Artérielle

Distribution

Barplot

Dyslipidemie

Distribution

Barplot

Les traitements

Table médicament restant

data2 = clean_names(data2)
L = c("trt1","trt2","trt3","trt4","trt5","trt6","trt7","trt8","trt9","trt10",
"trt11","trt12","trt13","trt14","trt15","trt16","trt17","trt18","trt19","trt20")

trt_total = data.frame(x = data2$trt1)

for (i in 2:length(L)){
  b = data.frame(x = data2[,L[i]])
  
  trt_total = rbind(trt_total,b)
}

trt_total = trt_total %>%
      mutate(x = tolower(x))%>% 
      filter(x != c(""))

### Masque

for (i in 1:nrow(trt_total)){
    trt_total[i,1] = gsub("y","i", trt_total[i,1])
    trt_total[i,1] = gsub("ll","l", trt_total[i,1])
  trt_total[i,1] = gsub("ff","f", trt_total[i,1])
  trt_total[i,1] = gsub("ph","f", trt_total[i,1])
  trt_total[i,1] = gsub("h","", trt_total[i,1])
  trt_total[i,1] = gsub("pp","p", trt_total[i,1])
  
  trt_total[i,1] = gsub(",","", trt_total[i,1])
  trt_total[i,1] = gsub("_","", trt_total[i,1])
  #trt_total[i,1] = gsub(".","", trt_total[i,1])
  
  trt_total[i,1] = gsub("0","", trt_total[i,1])
  trt_total[i,1] = gsub("1","", trt_total[i,1])
  trt_total[i,1] = gsub("2","", trt_total[i,1])
  trt_total[i,1] = gsub("3","", trt_total[i,1])
  trt_total[i,1] = gsub("4","", trt_total[i,1])
  trt_total[i,1] = gsub("5","", trt_total[i,1])
  trt_total[i,1] = gsub("6","", trt_total[i,1])
  trt_total[i,1] = gsub("7","", trt_total[i,1])
  trt_total[i,1] = gsub("8","", trt_total[i,1])
  trt_total[i,1] = gsub("9","", trt_total[i,1])

  if (length(grep(" ", trt_total[i,1], ignore.case = TRUE)) > 0){
    pos = regexpr(pattern=" ",trt_total[i,1],fixed=TRUE)[1]
    trt_total[i,1] = substr(trt_total[i,1],1,pos-1)
}
  trt_total[i,1] = gsub(" ","", trt_total[i,1])
  
  if(substr(trt_total[i,1],nchar(trt_total[i,1]),nchar(trt_total[i,1])) == "e"){
    trt_total[i,1] = gsub('.{1}$', '', trt_total[i,1])
  }

}


medi_total = c(medi_chol,medi_diabete,medi_HTA,medi_antidouleur,medi_anxiete,medi_cv,medi_depression,medi_ma,medi_parkinson,medi_sommeil,medi_trouble,medi_vitamines)

trt_total = trt_total %>%
      mutate(x = tolower(x))%>% 
      filter(x != c(""),!x %in% medi_total)


dat_test <- data.frame(x = trt_total)
med_nb = dat_test %>%
            mutate(x = tolower(x)) %>%
            filter(dat_test != "",!x %in% medi_total)%>%
            gather(value = "Modalités") %>%
            group_by(Modalités) %>%
            summarise(n = n()) %>% arrange(desc(n))

## Warning: Using one column matrices in `filter()` was deprecated in dplyr 1.1.0.
## ℹ Please use one dimensional logical vectors instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

med_nb = as.data.frame(med_nb)

med_nb

#write_xlsx(med_nb,"//172.27.137.244/g_boilay/alternance/export/med.xlsx")
#write.csv(med_nb,"//172.27.137.244/g_boilay/alternance/export/med.csv")

MMSE

Score MMSE le plus proche de la PL

Summary

Boxplot

Histogramme

Découpage

Barplot

Dernier Score MMSE réalisé (en j)

Summary

Boxplot

Histogramme

Différence entre le premier et dernier Score MMSE (en j)

Summary

Boxplot

Histogramme

Nombre de Score MMSE avant la PL

Summary

Boxplot

Histogramme

Nombre de Score MMSE après la PL

Summary

Boxplot

Histogramme

APOE

Distribution

Distribution présence E4

Barplot

Diagnostique clinique

Légende

1 = MA
2 = MCI amnésique
3 = MCI autre
4= Démence mixte
5 = Démence vasculaire
6 = DFT
7 = Lewy
8 = Atrophie corticale postérieure
9 = Démence alcoolique
10 = Aphasie progressive primaire
11 = Trouble psychiatrique
12 = VIH
13 = NSP
14 = Autre

Distribution

Barplot

Biomarqueur de la MA

Abeta42

Distribution

Barplot

Standardisation

Standardisation du logarithme de la variable multipliée par -1 en prenant en compte les différentes périodes

Boxplot

Histogramme

Abeta40

Distribution

Standardisation

Standardisation du logarithme de la variable multipliée par -1 en prenant en compte les différentes périodes

Boxplot

Histogramme

Tau

Distribution

Barplot

Standardisation

Standardisation du logarithme de la variable en prenant en compte les différentes périodes

Boxplot

Histogramme

Ptau

Distribution

Barplot

Standardisation

Standardisation du logarithme de la variable en prenant en compte les différentes périodes

Boxplot

Histogramme

Corrélation

Pearson

Spearman

Biomarqueur sanguin

Cholesterol Total (g/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `cholesterol_total.reg`.

Cholesterol hdl (g/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `cholesterol_hdl.reg`.

Cholesterol ldl (g/l)

Summary

Boxplot

Histogramme

Glucose à jeun (mmol/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `glucose_jeun.reg`.

Triglycerides (g/l)

Summary

Boxplot

Histogramme

Corrélation

Biomarqueur sanguin + age

Pearson

Spearman

Biomarqueur sanguin + mmse + apoe

Pearson

Spearman

Biomarqueur sanguin + Biomarqueur de la MA

Pearson

Spearman

Autres biomarqueurs

Folates (nmol/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `folates.reg`.

Vitamine B12 (pmol/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `vitamine_b12.reg`.

Vitamine D (nmol/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `vitamine_d.reg`.

Proteines (g/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `proteines.reg`.

TSH (mu/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `tsh.reg`.

Uree (mmol/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `uree.reg`.

Creatinine (umol/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `creatinine.reg`.

Calcium (mmol/l)

Summary

Boxplot

Histogramme

Découpage

## Warning: Unknown or uninitialised column: `calcium.reg`.

## integer(0)

Corrélation

Autres marqueurs + age

Pearson

Spearman

Autres marqueurs + mmse + apoe

Pearson

Spearman

Autres marqueurs + Biomarqueur sanguin

Pearson

Spearman

Etude d’association

Abeta42

Tableau de fréquence

	abeta42 faible (N=502)	abeta42 normal (N=474)	Total (N=976)	p value
Age				< 0.001
- Mean (SD)	71.259 (8.141)	67.977 (9.341)	69.665 (8.893)
- Range	47.000 - 89.000	42.000 - 89.000	42.000 - 89.000
Sexe				0.064
- Femme	287 (57.2%)	243 (51.3%)	530 (54.3%)
- Homme	215 (42.8%)	231 (48.7%)	446 (45.7%)
Glucose				0.782
- Mean (SD)	5.739 (1.546)	5.769 (1.828)	5.754 (1.688)
- Range	0.720 - 18.500	0.920 - 24.500	0.720 - 24.500
Triglycerides				0.709
- Mean (SD)	0.948 (0.333)	0.956 (0.346)	0.951 (0.339)
- Range	0.380 - 1.970	0.150 - 1.970	0.150 - 1.970
Cholesterol				0.002
- Mean (SD)	2.167 (0.509)	2.064 (0.507)	2.117 (0.510)
- Range	1.030 - 6.640	0.820 - 5.900	0.820 - 6.640
Cholesterol hdl				0.105
- Mean (SD)	0.601 (0.167)	0.584 (0.152)	0.593 (0.160)
- Range	0.210 - 1.590	0.270 - 1.380	0.210 - 1.590
Cholesterol ldl				< 0.001
- Mean (SD)	1.370 (0.404)	1.269 (0.381)	1.321 (0.396)
- Range	0.360 - 2.970	0.200 - 2.630	0.200 - 2.970
Présence E4				< 0.001
- 0	195 (38.8%)	345 (72.8%)	540 (55.3%)
- 1	230 (45.8%)	122 (25.7%)	352 (36.1%)
- 2	77 (15.3%)	7 (1.5%)	84 (8.6%)
MMSE				< 0.001
- Mean (SD)	21.106 (5.435)	23.951 (4.458)	22.488 (5.181)
- Range	4.000 - 30.000	5.000 - 30.000	4.000 - 30.000
Traitement cholesterol				0.215
- 0	420 (83.7%)	410 (86.5%)	830 (85.0%)
- 1	82 (16.3%)	64 (13.5%)	146 (15.0%)
Traitement Diabete				0.170
- 0	472 (94.0%)	435 (91.8%)	907 (92.9%)
- 1	30 (6.0%)	39 (8.2%)	69 (7.1%)
Niveau d’étude				0.126
- N-Miss	31	35	66
- études supérieurs	174 (36.9%)	166 (37.8%)	340 (37.4%)
- niveau études intermédiaires	159 (33.8%)	169 (38.5%)	328 (36.0%)
- niveau études mineurs	138 (29.3%)	104 (23.7%)	242 (26.6%)

Abeta42 en Catégorie

Association avec le cholestérol

## [1] "N = 1009"

Modèle 1

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.26	1.10, 1.44	<0.001
age	1.59	1.37, 1.85	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 2

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.25	1.08, 1.44	0.002
age	1.59	1.37, 1.84	<0.001
sexe	1.12	0.86, 1.47	0.4
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.05	0.78, 1.42	0.7
niveau études mineurs	1.28	0.92, 1.77	0.14
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 3

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.18	1.02, 1.37	0.028
age	1.64	1.40, 1.92	<0.001
sexe	1.20	0.90, 1.59	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.94	0.68, 1.29	0.7
niveau études mineurs	1.21	0.86, 1.71	0.3
apoe.reg2	3.39	2.70, 4.29	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 4

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.19	1.02, 1.38	0.025
age	1.64	1.40, 1.94	<0.001
sexe	1.13	0.84, 1.51	0.4
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.80	0.58, 1.11	0.2
niveau études mineurs	0.75	0.51, 1.10	0.14
apoe.reg2	3.21	2.55, 4.08	<0.001
mmse	0.90	0.87, 0.93	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 5

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.19	1.03, 1.39	0.022
age	1.63	1.39, 1.93	<0.001
sexe	1.12	0.84, 1.51	0.4
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.80	0.58, 1.11	0.2
niveau études mineurs	0.74	0.51, 1.09	0.13
apoe.reg2	3.21	2.55, 4.08	<0.001
mmse	0.90	0.87, 0.93	<0.001
ch	1.11	0.75, 1.65	0.6
dia	1.02	0.60, 1.71	>0.9
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 6

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.18	1.01, 1.37	0.039
age	1.60	1.36, 1.89	<0.001
sexe	1.08	0.80, 1.46	0.6
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.83	0.60, 1.16	0.3
niveau études mineurs	0.79	0.54, 1.17	0.2
apoe.reg2	3.18	2.52, 4.04	<0.001
mmse	0.90	0.87, 0.93	<0.001
ch	1.13	0.76, 1.68	0.5
dia	1.08	0.64, 1.83	0.8
imc	0.96	0.92, 0.99	0.007
¹ OR = Odds Ratio, CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value
cholesterol_total	1.26	1.10, 1.44	<0.001	1.25	1.08, 1.44	0.002	1.18	1.02, 1.37	0.028	1.19	1.02, 1.38	0.025	1.19	1.03, 1.39	0.022	1.18	1.01, 1.37	0.039
age	1.59	1.37, 1.85	<0.001	1.59	1.37, 1.84	<0.001	1.64	1.40, 1.92	<0.001	1.64	1.40, 1.94	<0.001	1.63	1.39, 1.93	<0.001	1.60	1.36, 1.89	<0.001
sexe				1.12	0.86, 1.47	0.4	1.20	0.90, 1.59	0.2	1.13	0.84, 1.51	0.4	1.12	0.84, 1.51	0.4	1.08	0.80, 1.46	0.6
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				1.05	0.78, 1.42	0.7	0.94	0.68, 1.29	0.7	0.80	0.58, 1.11	0.2	0.80	0.58, 1.11	0.2	0.83	0.60, 1.16	0.3
niveau études mineurs				1.28	0.92, 1.77	0.14	1.21	0.86, 1.71	0.3	0.75	0.51, 1.10	0.14	0.74	0.51, 1.09	0.13	0.79	0.54, 1.17	0.2
apoe.reg2							3.39	2.70, 4.29	<0.001	3.21	2.55, 4.08	<0.001	3.21	2.55, 4.08	<0.001	3.18	2.52, 4.04	<0.001
mmse										0.90	0.87, 0.93	<0.001	0.90	0.87, 0.93	<0.001	0.90	0.87, 0.93	<0.001
ch													1.11	0.75, 1.65	0.6	1.13	0.76, 1.68	0.5
dia													1.02	0.60, 1.71	>0.9	1.08	0.64, 1.83	0.8
imc																0.96	0.92, 0.99	0.007
¹ OR = Odds Ratio, CI = Confidence Interval

Association avec le glucose

## [1] "N = 1038"

Modèle 1

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.95	0.84, 1.07	0.4
age	1.55	1.34, 1.79	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 2

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.97	0.85, 1.10	0.6
age	1.56	1.35, 1.80	<0.001
sexe	1.30	1.00, 1.68	0.049
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.01	0.76, 1.35	>0.9
niveau études mineurs	1.22	0.89, 1.68	0.2
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 3

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.95	0.83, 1.08	0.4
age	1.60	1.38, 1.87	<0.001
sexe	1.32	1.00, 1.73	0.049
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.92	0.68, 1.26	0.6
niveau études mineurs	1.17	0.84, 1.65	0.4
apoe.reg2	3.34	2.67, 4.20	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 4

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.95	0.83, 1.09	0.4
age	1.61	1.37, 1.89	<0.001
sexe	1.25	0.94, 1.65	0.13
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.80	0.58, 1.10	0.2
niveau études mineurs	0.69	0.47, 1.00	0.052
apoe.reg2	3.22	2.57, 4.08	<0.001
mmse	0.89	0.86, 0.92	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 5

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.94	0.81, 1.10	0.5
age	1.60	1.36, 1.88	<0.001
sexe	1.25	0.94, 1.65	0.13
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.79	0.58, 1.10	0.2
niveau études mineurs	0.68	0.46, 1.00	0.049
apoe.reg2	3.22	2.56, 4.08	<0.001
mmse	0.89	0.86, 0.92	<0.001
ch	1.06	0.73, 1.56	0.8
dia	1.03	0.59, 1.80	>0.9
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 6

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.98	0.84, 1.15	0.8
age	1.56	1.33, 1.84	<0.001
sexe	1.21	0.91, 1.60	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.83	0.60, 1.14	0.2
niveau études mineurs	0.73	0.50, 1.08	0.11
apoe.reg2	3.15	2.51, 4.00	<0.001
mmse	0.89	0.86, 0.92	<0.001
ch	1.10	0.75, 1.62	0.6
dia	1.04	0.59, 1.83	0.9
imc	0.95	0.92, 0.99	0.005
¹ OR = Odds Ratio, CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value
glucose_jeun	0.95	0.84, 1.07	0.4	0.97	0.85, 1.10	0.6	0.95	0.83, 1.08	0.4	0.95	0.83, 1.09	0.4	0.94	0.81, 1.10	0.5	0.98	0.84, 1.15	0.8
age	1.55	1.34, 1.79	<0.001	1.56	1.35, 1.80	<0.001	1.60	1.38, 1.87	<0.001	1.61	1.37, 1.89	<0.001	1.60	1.36, 1.88	<0.001	1.56	1.33, 1.84	<0.001
sexe				1.30	1.00, 1.68	0.049	1.32	1.00, 1.73	0.049	1.25	0.94, 1.65	0.13	1.25	0.94, 1.65	0.13	1.21	0.91, 1.60	0.2
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				1.01	0.76, 1.35	>0.9	0.92	0.68, 1.26	0.6	0.80	0.58, 1.10	0.2	0.79	0.58, 1.10	0.2	0.83	0.60, 1.14	0.2
niveau études mineurs				1.22	0.89, 1.68	0.2	1.17	0.84, 1.65	0.4	0.69	0.47, 1.00	0.052	0.68	0.46, 1.00	0.049	0.73	0.50, 1.08	0.11
apoe.reg2							3.34	2.67, 4.20	<0.001	3.22	2.57, 4.08	<0.001	3.22	2.56, 4.08	<0.001	3.15	2.51, 4.00	<0.001
mmse										0.89	0.86, 0.92	<0.001	0.89	0.86, 0.92	<0.001	0.89	0.86, 0.92	<0.001
ch													1.06	0.73, 1.56	0.8	1.10	0.75, 1.62	0.6
dia													1.03	0.59, 1.80	>0.9	1.04	0.59, 1.83	0.9
imc																0.95	0.92, 0.99	0.005
¹ OR = Odds Ratio, CI = Confidence Interval

Abeta42 en Continue

Association avec le cholestérol

## [1] "N = 1009"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.10	0.04, 0.16	0.002
age	0.22	0.16, 0.29	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.11	0.05, 0.17	<0.001
age	0.22	0.15, 0.29	<0.001
sexe	-0.07	-0.19, 0.06	0.3
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.00	-0.14, 0.14	>0.9
niveau études mineurs	0.09	-0.07, 0.24	0.3
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.01, 0.13	0.020
age	0.21	0.15, 0.27	<0.001
sexe	-0.04	-0.16, 0.08	0.5
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.06	-0.19, 0.07	0.4
niveau études mineurs	0.05	-0.09, 0.19	0.5
apoe.reg2	0.64	0.55, 0.72	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.02, 0.13	0.011
age	0.20	0.14, 0.26	<0.001
sexe	-0.07	-0.18, 0.04	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.13	-0.26, -0.01	0.034
niveau études mineurs	-0.19	-0.34, -0.05	0.009
apoe.reg2	0.59	0.50, 0.67	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.02, 0.13	0.012
age	0.20	0.14, 0.26	<0.001
sexe	-0.07	-0.18, 0.04	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.13	-0.26, -0.01	0.035
niveau études mineurs	-0.19	-0.34, -0.04	0.010
apoe.reg2	0.59	0.50, 0.67	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
ch	0.00	-0.15, 0.15	>0.9
dia	-0.01	-0.22, 0.19	0.9
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.02, 0.13	0.013
age	0.20	0.14, 0.26	<0.001
sexe	-0.08	-0.19, 0.03	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.13	-0.25, 0.00	0.046
niveau études mineurs	-0.18	-0.33, -0.04	0.014
apoe.reg2	0.58	0.50, 0.66	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
ch	0.00	-0.15, 0.15	>0.9
dia	-0.01	-0.21, 0.19	>0.9
imc	0.00	-0.01, 0.00	0.10
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
cholesterol_total	0.10	0.04, 0.16	0.002	0.11	0.05, 0.17	<0.001	0.07	0.01, 0.13	0.020	0.07	0.02, 0.13	0.011	0.07	0.02, 0.13	0.012	0.07	0.02, 0.13	0.013
age	0.22	0.16, 0.29	<0.001	0.22	0.15, 0.29	<0.001	0.21	0.15, 0.27	<0.001	0.20	0.14, 0.26	<0.001	0.20	0.14, 0.26	<0.001	0.20	0.14, 0.26	<0.001
sexe				-0.07	-0.19, 0.06	0.3	-0.04	-0.16, 0.08	0.5	-0.07	-0.18, 0.04	0.2	-0.07	-0.18, 0.04	0.2	-0.08	-0.19, 0.03	0.2
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				0.00	-0.14, 0.14	>0.9	-0.06	-0.19, 0.07	0.4	-0.13	-0.26, -0.01	0.034	-0.13	-0.26, -0.01	0.035	-0.13	-0.25, 0.00	0.046
niveau études mineurs				0.09	-0.07, 0.24	0.3	0.05	-0.09, 0.19	0.5	-0.19	-0.34, -0.05	0.009	-0.19	-0.34, -0.04	0.010	-0.18	-0.33, -0.04	0.014
apoe.reg2							0.64	0.55, 0.72	<0.001	0.59	0.50, 0.67	<0.001	0.59	0.50, 0.67	<0.001	0.58	0.50, 0.66	<0.001
mmse										-0.05	-0.06, -0.04	<0.001	-0.05	-0.06, -0.04	<0.001	-0.05	-0.06, -0.04	<0.001
ch													0.00	-0.15, 0.15	>0.9	0.00	-0.15, 0.15	>0.9
dia													-0.01	-0.22, 0.19	0.9	-0.01	-0.21, 0.19	>0.9
imc																0.00	-0.01, 0.00	0.10
¹ CI = Confidence Interval

Association avec le glucose

## [1] "N = 1038"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.10, 0.02	0.2
age	0.21	0.14, 0.28	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.10, 0.02	0.2
age	0.21	0.14, 0.27	<0.001
sexe	-0.02	-0.14, 0.10	0.8
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.02	-0.16, 0.12	0.8
niveau études mineurs	0.05	-0.11, 0.20	0.5
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.11, 0.01	0.081
age	0.20	0.14, 0.26	<0.001
sexe	-0.03	-0.14, 0.09	0.6
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.06	-0.19, 0.06	0.3
niveau études mineurs	0.02	-0.12, 0.16	0.8
apoe.reg2	0.63	0.55, 0.72	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.10, 0.01	0.088
age	0.19	0.13, 0.24	<0.001
sexe	-0.06	-0.16, 0.05	0.3
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.13	-0.26, -0.01	0.035
niveau études mineurs	-0.24	-0.39, -0.10	0.001
apoe.reg2	0.59	0.50, 0.67	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.11, 0.01	0.11
age	0.19	0.13, 0.25	<0.001
sexe	-0.06	-0.16, 0.05	0.3
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.13	-0.26, -0.01	0.035
niveau études mineurs	-0.24	-0.39, -0.10	0.001
apoe.reg2	0.59	0.50, 0.67	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
ch	-0.01	-0.16, 0.14	>0.9
dia	0.02	-0.20, 0.23	0.9
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.10, 0.02	0.15
age	0.18	0.12, 0.24	<0.001
sexe	-0.06	-0.17, 0.05	0.3
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.13	-0.25, 0.00	0.046
niveau études mineurs	-0.24	-0.38, -0.09	0.002
apoe.reg2	0.58	0.50, 0.66	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
ch	-0.01	-0.15, 0.14	>0.9
dia	0.02	-0.20, 0.23	0.9
imc	-0.01	-0.01, 0.00	0.075
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.10, 0.02	0.2	-0.04	-0.10, 0.02	0.2	-0.05	-0.11, 0.01	0.081	-0.05	-0.10, 0.01	0.088	-0.05	-0.11, 0.01	0.11	-0.04	-0.10, 0.02	0.15
age	0.21	0.14, 0.28	<0.001	0.21	0.14, 0.27	<0.001	0.20	0.14, 0.26	<0.001	0.19	0.13, 0.24	<0.001	0.19	0.13, 0.25	<0.001	0.18	0.12, 0.24	<0.001
sexe				-0.02	-0.14, 0.10	0.8	-0.03	-0.14, 0.09	0.6	-0.06	-0.16, 0.05	0.3	-0.06	-0.16, 0.05	0.3	-0.06	-0.17, 0.05	0.3
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				-0.02	-0.16, 0.12	0.8	-0.06	-0.19, 0.06	0.3	-0.13	-0.26, -0.01	0.035	-0.13	-0.26, -0.01	0.035	-0.13	-0.25, 0.00	0.046
niveau études mineurs				0.05	-0.11, 0.20	0.5	0.02	-0.12, 0.16	0.8	-0.24	-0.39, -0.10	0.001	-0.24	-0.39, -0.10	0.001	-0.24	-0.38, -0.09	0.002
apoe.reg2							0.63	0.55, 0.72	<0.001	0.59	0.50, 0.67	<0.001	0.59	0.50, 0.67	<0.001	0.58	0.50, 0.66	<0.001
mmse										-0.05	-0.06, -0.04	<0.001	-0.05	-0.06, -0.04	<0.001	-0.05	-0.06, -0.04	<0.001
ch													-0.01	-0.16, 0.14	>0.9	-0.01	-0.15, 0.14	>0.9
dia													0.02	-0.20, 0.23	0.9	0.02	-0.20, 0.23	0.9
imc																-0.01	-0.01, 0.00	0.075
¹ CI = Confidence Interval

Abeta40

Abeta40 en Continue

Association avec le cholestérol

## [1] "N = 1009"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.08	0.02, 0.14	0.011
age	0.30	0.23, 0.37	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.00, 0.14	0.040
age	0.30	0.23, 0.37	<0.001
sexe	0.08	-0.05, 0.22	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.02	-0.16, 0.13	0.8
niveau études mineurs	0.01	-0.15, 0.17	0.9
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.03	-0.03, 0.09	0.3
age	0.29	0.23, 0.36	<0.001
sexe	0.10	-0.03, 0.22	0.12
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.05	-0.18, 0.09	0.5
niveau études mineurs	0.00	-0.15, 0.15	>0.9
apoe.reg2	0.54	0.45, 0.63	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.03	-0.03, 0.09	0.3
age	0.29	0.22, 0.36	<0.001
sexe	0.09	-0.04, 0.21	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.09	-0.23, 0.05	0.2
niveau études mineurs	-0.12	-0.28, 0.04	0.14
apoe.reg2	0.51	0.42, 0.60	<0.001
mmse	-0.03	-0.04, -0.01	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.03	-0.03, 0.09	0.4
age	0.29	0.22, 0.36	<0.001
sexe	0.08	-0.04, 0.20	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.09	-0.22, 0.05	0.2
niveau études mineurs	-0.11	-0.27, 0.05	0.2
apoe.reg2	0.51	0.42, 0.60	<0.001
mmse	-0.02	-0.04, -0.01	<0.001
ch	0.03	-0.13, 0.20	0.7
dia	-0.22	-0.45, 0.01	0.062
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.03	-0.03, 0.09	0.4
age	0.28	0.21, 0.35	<0.001
sexe	0.07	-0.06, 0.19	0.3
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.07	-0.21, 0.06	0.3
niveau études mineurs	-0.09	-0.25, 0.07	0.3
apoe.reg2	0.50	0.41, 0.59	<0.001
mmse	-0.02	-0.04, -0.01	<0.001
ch	0.03	-0.13, 0.20	0.7
dia	-0.21	-0.44, 0.02	0.077
imc	-0.01	-0.01, 0.00	0.007
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
cholesterol_total	0.08	0.02, 0.14	0.011	0.07	0.00, 0.14	0.040	0.03	-0.03, 0.09	0.3	0.03	-0.03, 0.09	0.3	0.03	-0.03, 0.09	0.4	0.03	-0.03, 0.09	0.4
age	0.30	0.23, 0.37	<0.001	0.30	0.23, 0.37	<0.001	0.29	0.23, 0.36	<0.001	0.29	0.22, 0.36	<0.001	0.29	0.22, 0.36	<0.001	0.28	0.21, 0.35	<0.001
sexe				0.08	-0.05, 0.22	0.2	0.10	-0.03, 0.22	0.12	0.09	-0.04, 0.21	0.2	0.08	-0.04, 0.20	0.2	0.07	-0.06, 0.19	0.3
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				-0.02	-0.16, 0.13	0.8	-0.05	-0.18, 0.09	0.5	-0.09	-0.23, 0.05	0.2	-0.09	-0.22, 0.05	0.2	-0.07	-0.21, 0.06	0.3
niveau études mineurs				0.01	-0.15, 0.17	0.9	0.00	-0.15, 0.15	>0.9	-0.12	-0.28, 0.04	0.14	-0.11	-0.27, 0.05	0.2	-0.09	-0.25, 0.07	0.3
apoe.reg2							0.54	0.45, 0.63	<0.001	0.51	0.42, 0.60	<0.001	0.51	0.42, 0.60	<0.001	0.50	0.41, 0.59	<0.001
mmse										-0.03	-0.04, -0.01	<0.001	-0.02	-0.04, -0.01	<0.001	-0.02	-0.04, -0.01	<0.001
ch													0.03	-0.13, 0.20	0.7	0.03	-0.13, 0.20	0.7
dia													-0.22	-0.45, 0.01	0.062	-0.21	-0.44, 0.02	0.077
imc																-0.01	-0.01, 0.00	0.007
¹ CI = Confidence Interval

Association avec le glucose

## [1] "N = 885"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.11, 0.01	0.12
age	0.31	0.24, 0.38	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.11, 0.02	0.2
age	0.31	0.24, 0.38	<0.001
sexe	0.11	-0.02, 0.24	0.11
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.02	-0.17, 0.13	0.8
niveau études mineurs	0.00	-0.16, 0.17	>0.9
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.11, 0.01	0.13
age	0.31	0.24, 0.38	<0.001
sexe	0.09	-0.03, 0.22	0.13
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.04	-0.17, 0.10	0.6
niveau études mineurs	0.01	-0.14, 0.16	0.9
apoe.reg2	0.52	0.43, 0.62	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.11, 0.02	0.14
age	0.30	0.23, 0.37	<0.001
sexe	0.08	-0.04, 0.21	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.07	-0.21, 0.07	0.3
niveau études mineurs	-0.11	-0.27, 0.05	0.2
apoe.reg2	0.50	0.41, 0.59	<0.001
mmse	-0.03	-0.04, -0.01	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.03	-0.10, 0.03	0.3
age	0.30	0.23, 0.37	<0.001
sexe	0.08	-0.04, 0.20	0.2
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.07	-0.21, 0.07	0.3
niveau études mineurs	-0.11	-0.27, 0.06	0.2
apoe.reg2	0.49	0.40, 0.59	<0.001
mmse	-0.03	-0.04, -0.01	<0.001
ch	0.03	-0.13, 0.20	0.7
dia	-0.14	-0.38, 0.11	0.3
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.03	-0.09, 0.04	0.4
age	0.29	0.22, 0.36	<0.001
sexe	0.07	-0.05, 0.19	0.3
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.06	-0.20, 0.08	0.4
niveau études mineurs	-0.09	-0.26, 0.07	0.3
apoe.reg2	0.49	0.39, 0.58	<0.001
mmse	-0.03	-0.04, -0.01	<0.001
ch	0.03	-0.13, 0.20	0.7
dia	-0.14	-0.38, 0.11	0.3
imc	-0.01	-0.01, 0.00	0.007
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.11, 0.01	0.12	-0.04	-0.11, 0.02	0.2	-0.05	-0.11, 0.01	0.13	-0.05	-0.11, 0.02	0.14	-0.03	-0.10, 0.03	0.3	-0.03	-0.09, 0.04	0.4
age	0.31	0.24, 0.38	<0.001	0.31	0.24, 0.38	<0.001	0.31	0.24, 0.38	<0.001	0.30	0.23, 0.37	<0.001	0.30	0.23, 0.37	<0.001	0.29	0.22, 0.36	<0.001
sexe				0.11	-0.02, 0.24	0.11	0.09	-0.03, 0.22	0.13	0.08	-0.04, 0.21	0.2	0.08	-0.04, 0.20	0.2	0.07	-0.05, 0.19	0.3
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				-0.02	-0.17, 0.13	0.8	-0.04	-0.17, 0.10	0.6	-0.07	-0.21, 0.07	0.3	-0.07	-0.21, 0.07	0.3	-0.06	-0.20, 0.08	0.4
niveau études mineurs				0.00	-0.16, 0.17	>0.9	0.01	-0.14, 0.16	0.9	-0.11	-0.27, 0.05	0.2	-0.11	-0.27, 0.06	0.2	-0.09	-0.26, 0.07	0.3
apoe.reg2							0.52	0.43, 0.62	<0.001	0.50	0.41, 0.59	<0.001	0.49	0.40, 0.59	<0.001	0.49	0.39, 0.58	<0.001
mmse										-0.03	-0.04, -0.01	<0.001	-0.03	-0.04, -0.01	<0.001	-0.03	-0.04, -0.01	<0.001
ch													0.03	-0.13, 0.20	0.7	0.03	-0.13, 0.20	0.7
dia													-0.14	-0.38, 0.11	0.3	-0.14	-0.38, 0.11	0.3
imc																-0.01	-0.01, 0.00	0.007
¹ CI = Confidence Interval

Tau

Tableau de fréquence

	tau elevé (N=543)	tau normal (N=433)	Total (N=976)	p value
Age				< 0.001
- Mean (SD)	71.516 (8.098)	67.344 (9.301)	69.665 (8.893)
- Range	49.000 - 89.000	42.000 - 88.000	42.000 - 89.000
Sexe				< 0.001
- Femme	322 (59.3%)	208 (48.0%)	530 (54.3%)
- Homme	221 (40.7%)	225 (52.0%)	446 (45.7%)
Glucose				0.732
- Mean (SD)	5.770 (1.723)	5.733 (1.645)	5.754 (1.688)
- Range	0.920 - 20.900	0.720 - 24.500	0.720 - 24.500
Triglycerides				0.021
- Mean (SD)	0.929 (0.328)	0.980 (0.351)	0.951 (0.339)
- Range	0.340 - 1.970	0.150 - 1.970	0.150 - 1.970
Cholesterol				0.061
- Mean (SD)	2.144 (0.510)	2.083 (0.510)	2.117 (0.510)
- Range	0.820 - 6.640	0.970 - 5.900	0.820 - 6.640
Cholesterol hdl				< 0.001
- Mean (SD)	0.610 (0.164)	0.572 (0.153)	0.593 (0.160)
- Range	0.210 - 1.100	0.220 - 1.590	0.210 - 1.590
Cholesterol ldl				0.062
- Mean (SD)	1.342 (0.408)	1.294 (0.379)	1.321 (0.396)
- Range	0.200 - 2.730	0.480 - 2.970	0.200 - 2.970
Présence E4				< 0.001
- 0	240 (44.2%)	300 (69.3%)	540 (55.3%)
- 1	242 (44.6%)	110 (25.4%)	352 (36.1%)
- 2	61 (11.2%)	23 (5.3%)	84 (8.6%)
MMSE				< 0.001
- Mean (SD)	21.297 (5.439)	23.982 (4.411)	22.488 (5.181)
- Range	4.000 - 30.000	8.000 - 30.000	4.000 - 30.000
Traitement cholesterol				0.389
- 0	457 (84.2%)	373 (86.1%)	830 (85.0%)
- 1	86 (15.8%)	60 (13.9%)	146 (15.0%)
Traitement Diabete				0.727
- 0	506 (93.2%)	401 (92.6%)	907 (92.9%)
- 1	37 (6.8%)	32 (7.4%)	69 (7.1%)
Niveau d’étude				0.413
- N-Miss	37	29	66
- études supérieurs	193 (38.1%)	147 (36.4%)	340 (37.4%)
- niveau études intermédiaires	173 (34.2%)	155 (38.4%)	328 (36.0%)
- niveau études mineurs	140 (27.7%)	102 (25.2%)	242 (26.6%)

Tau en Catégorie

Association avec le cholestérol

## [1] "N = 1009"

Modèle 1

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.19	1.04, 1.36	0.012
age	1.82	1.57, 2.13	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 2

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.10	0.95, 1.26	0.2
age	1.86	1.59, 2.17	<0.001
sexe	1.69	1.28, 2.22	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.98	0.72, 1.32	0.9
niveau études mineurs	0.94	0.68, 1.31	0.7
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 3

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.05	0.91, 1.21	0.5
age	1.89	1.61, 2.22	<0.001
sexe	1.79	1.35, 2.38	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.90	0.65, 1.23	0.5
niveau études mineurs	0.88	0.63, 1.25	0.5
apoe.reg2	2.23	1.80, 2.79	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 4

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.05	0.91, 1.22	0.5
age	1.90	1.62, 2.25	<0.001
sexe	1.71	1.28, 2.30	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.75	0.54, 1.04	0.089
niveau études mineurs	0.54	0.37, 0.78	0.001
apoe.reg2	2.08	1.67, 2.60	<0.001
mmse	0.90	0.87, 0.92	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 5

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.05	0.91, 1.22	0.5
age	1.90	1.61, 2.25	<0.001
sexe	1.72	1.29, 2.31	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.75	0.54, 1.04	0.088
niveau études mineurs	0.53	0.36, 0.78	0.001
apoe.reg2	2.08	1.67, 2.61	<0.001
mmse	0.90	0.87, 0.92	<0.001
ch	0.97	0.66, 1.43	0.9
dia	1.18	0.71, 1.97	0.5
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 6

## Warning: glm.fit: des probabilités ont été ajustées numériquement à 0 ou 1

## Warning: glm.fit: des probabilités ont été ajustées numériquement à 0 ou 1

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.02	0.88, 1.19	0.8
age	1.86	1.57, 2.21	<0.001
sexe	1.64	1.22, 2.21	0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.80	0.57, 1.11	0.2
niveau études mineurs	0.58	0.39, 0.86	0.007
apoe.reg2	2.05	1.64, 2.57	<0.001
mmse	0.90	0.87, 0.93	<0.001
ch	0.99	0.67, 1.46	>0.9
dia	1.30	0.78, 2.20	0.3
imc	0.93	0.90, 0.96	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value
cholesterol_total	1.19	1.04, 1.36	0.012	1.10	0.95, 1.26	0.2	1.05	0.91, 1.21	0.5	1.05	0.91, 1.22	0.5	1.05	0.91, 1.22	0.5	1.02	0.88, 1.19	0.8
age	1.82	1.57, 2.13	<0.001	1.86	1.59, 2.17	<0.001	1.89	1.61, 2.22	<0.001	1.90	1.62, 2.25	<0.001	1.90	1.61, 2.25	<0.001	1.86	1.57, 2.21	<0.001
sexe				1.69	1.28, 2.22	<0.001	1.79	1.35, 2.38	<0.001	1.71	1.28, 2.30	<0.001	1.72	1.29, 2.31	<0.001	1.64	1.22, 2.21	0.001
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				0.98	0.72, 1.32	0.9	0.90	0.65, 1.23	0.5	0.75	0.54, 1.04	0.089	0.75	0.54, 1.04	0.088	0.80	0.57, 1.11	0.2
niveau études mineurs				0.94	0.68, 1.31	0.7	0.88	0.63, 1.25	0.5	0.54	0.37, 0.78	0.001	0.53	0.36, 0.78	0.001	0.58	0.39, 0.86	0.007
apoe.reg2							2.23	1.80, 2.79	<0.001	2.08	1.67, 2.60	<0.001	2.08	1.67, 2.61	<0.001	2.05	1.64, 2.57	<0.001
mmse										0.90	0.87, 0.92	<0.001	0.90	0.87, 0.92	<0.001	0.90	0.87, 0.93	<0.001
ch													0.97	0.66, 1.43	0.9	0.99	0.67, 1.46	>0.9
dia													1.18	0.71, 1.97	0.5	1.30	0.78, 2.20	0.3
imc																0.93	0.90, 0.96	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Association avec le glucose

## [1] "N = 1038"

Modèle 1

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.93	0.82, 1.05	0.2
age	1.80	1.56, 2.10	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 2

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.98	0.86, 1.12	0.8
age	1.86	1.60, 2.16	<0.001
sexe	1.71	1.31, 2.23	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.94	0.70, 1.27	0.7
niveau études mineurs	0.88	0.63, 1.22	0.4
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 3

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.97	0.85, 1.11	0.6
age	1.88	1.61, 2.20	<0.001
sexe	1.74	1.32, 2.28	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.88	0.65, 1.20	0.4
niveau études mineurs	0.84	0.60, 1.17	0.3
apoe.reg2	2.19	1.77, 2.72	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 4

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.97	0.85, 1.12	0.7
age	1.90	1.62, 2.23	<0.001
sexe	1.66	1.26, 2.20	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.76	0.55, 1.04	0.083
niveau études mineurs	0.49	0.33, 0.71	<0.001
apoe.reg2	2.07	1.66, 2.58	<0.001
mmse	0.89	0.87, 0.92	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 5

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.96	0.83, 1.12	0.6
age	1.89	1.61, 2.23	<0.001
sexe	1.66	1.26, 2.20	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.75	0.55, 1.04	0.082
niveau études mineurs	0.49	0.33, 0.71	<0.001
apoe.reg2	2.07	1.66, 2.58	<0.001
mmse	0.89	0.87, 0.92	<0.001
ch	1.05	0.72, 1.53	0.8
dia	1.06	0.61, 1.83	0.8
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 6

## Warning: glm.fit: des probabilités ont été ajustées numériquement à 0 ou 1

## Warning: glm.fit: des probabilités ont été ajustées numériquement à 0 ou 1

## Warning: glm.fit: des probabilités ont été ajustées numériquement à 0 ou 1

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	1.03	0.88, 1.21	0.7
age	1.84	1.56, 2.17	<0.001
sexe	1.59	1.20, 2.11	0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.80	0.58, 1.11	0.2
niveau études mineurs	0.54	0.36, 0.79	0.002
apoe.reg2	2.00	1.60, 2.50	<0.001
mmse	0.89	0.87, 0.92	<0.001
ch	1.10	0.75, 1.61	0.6
dia	1.08	0.62, 1.89	0.8
imc	0.93	0.90, 0.96	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value
glucose_jeun	0.93	0.82, 1.05	0.2	0.98	0.86, 1.12	0.8	0.97	0.85, 1.11	0.6	0.97	0.85, 1.12	0.7	0.96	0.83, 1.12	0.6	1.03	0.88, 1.21	0.7
age	1.80	1.56, 2.10	<0.001	1.86	1.60, 2.16	<0.001	1.88	1.61, 2.20	<0.001	1.90	1.62, 2.23	<0.001	1.89	1.61, 2.23	<0.001	1.84	1.56, 2.17	<0.001
sexe				1.71	1.31, 2.23	<0.001	1.74	1.32, 2.28	<0.001	1.66	1.26, 2.20	<0.001	1.66	1.26, 2.20	<0.001	1.59	1.20, 2.11	0.001
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				0.94	0.70, 1.27	0.7	0.88	0.65, 1.20	0.4	0.76	0.55, 1.04	0.083	0.75	0.55, 1.04	0.082	0.80	0.58, 1.11	0.2
niveau études mineurs				0.88	0.63, 1.22	0.4	0.84	0.60, 1.17	0.3	0.49	0.33, 0.71	<0.001	0.49	0.33, 0.71	<0.001	0.54	0.36, 0.79	0.002
apoe.reg2							2.19	1.77, 2.72	<0.001	2.07	1.66, 2.58	<0.001	2.07	1.66, 2.58	<0.001	2.00	1.60, 2.50	<0.001
mmse										0.89	0.87, 0.92	<0.001	0.89	0.87, 0.92	<0.001	0.89	0.87, 0.92	<0.001
ch													1.05	0.72, 1.53	0.8	1.10	0.75, 1.61	0.6
dia													1.06	0.61, 1.83	0.8	1.08	0.62, 1.89	0.8
imc																0.93	0.90, 0.96	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Tau en Continue

Association avec le cholestérol

## [1] "N = 1009"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.01, 0.13	0.023
age	0.27	0.20, 0.34	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.04	-0.03, 0.10	0.2
age	0.28	0.21, 0.34	<0.001
sexe	0.22	0.10, 0.34	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.06	-0.08, 0.20	0.4
niveau études mineurs	0.03	-0.12, 0.18	0.7
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.01	-0.05, 0.08	0.6
age	0.27	0.21, 0.34	<0.001
sexe	0.23	0.11, 0.35	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.03	-0.10, 0.16	0.7
niveau études mineurs	0.01	-0.13, 0.16	0.9
apoe.reg2	0.34	0.25, 0.43	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.02	-0.04, 0.08	0.5
age	0.26	0.20, 0.32	<0.001
sexe	0.20	0.09, 0.32	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.04	-0.17, 0.09	0.5
niveau études mineurs	-0.21	-0.36, -0.06	0.006
apoe.reg2	0.29	0.21, 0.38	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.01	-0.05, 0.07	0.7
age	0.26	0.20, 0.33	<0.001
sexe	0.20	0.08, 0.32	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.04	-0.17, 0.09	0.6
niveau études mineurs	-0.19	-0.35, -0.04	0.013
apoe.reg2	0.29	0.21, 0.38	<0.001
mmse	-0.05	-0.06, -0.03	<0.001
ch	-0.04	-0.20, 0.11	0.6
dia	-0.16	-0.37, 0.05	0.13
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.01	-0.05, 0.07	0.7
age	0.26	0.19, 0.32	<0.001
sexe	0.18	0.07, 0.30	0.002
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.02	-0.15, 0.11	0.7
niveau études mineurs	-0.18	-0.33, -0.03	0.022
apoe.reg2	0.28	0.20, 0.37	<0.001
mmse	-0.05	-0.06, -0.03	<0.001
ch	-0.04	-0.20, 0.12	0.6
dia	-0.15	-0.36, 0.06	0.2
imc	-0.01	-0.02, 0.00	0.001
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.01, 0.13	0.023	0.04	-0.03, 0.10	0.2	0.01	-0.05, 0.08	0.6	0.02	-0.04, 0.08	0.5	0.01	-0.05, 0.07	0.7	0.01	-0.05, 0.07	0.7
age	0.27	0.20, 0.34	<0.001	0.28	0.21, 0.34	<0.001	0.27	0.21, 0.34	<0.001	0.26	0.20, 0.32	<0.001	0.26	0.20, 0.33	<0.001	0.26	0.19, 0.32	<0.001
sexe				0.22	0.10, 0.34	<0.001	0.23	0.11, 0.35	<0.001	0.20	0.09, 0.32	<0.001	0.20	0.08, 0.32	<0.001	0.18	0.07, 0.30	0.002
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				0.06	-0.08, 0.20	0.4	0.03	-0.10, 0.16	0.7	-0.04	-0.17, 0.09	0.5	-0.04	-0.17, 0.09	0.6	-0.02	-0.15, 0.11	0.7
niveau études mineurs				0.03	-0.12, 0.18	0.7	0.01	-0.13, 0.16	0.9	-0.21	-0.36, -0.06	0.006	-0.19	-0.35, -0.04	0.013	-0.18	-0.33, -0.03	0.022
apoe.reg2							0.34	0.25, 0.43	<0.001	0.29	0.21, 0.38	<0.001	0.29	0.21, 0.38	<0.001	0.28	0.20, 0.37	<0.001
mmse										-0.05	-0.06, -0.04	<0.001	-0.05	-0.06, -0.03	<0.001	-0.05	-0.06, -0.03	<0.001
ch													-0.04	-0.20, 0.11	0.6	-0.04	-0.20, 0.12	0.6
dia													-0.16	-0.37, 0.05	0.13	-0.15	-0.36, 0.06	0.2
imc																-0.01	-0.02, 0.00	0.001
¹ CI = Confidence Interval

Association avec le glucose

## [1] "N = 1038"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.06	-0.12, 0.00	0.046
age	0.27	0.21, 0.34	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.10, 0.02	0.2
age	0.28	0.22, 0.35	<0.001
sexe	0.20	0.08, 0.32	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.06	-0.07, 0.20	0.3
niveau études mineurs	0.03	-0.12, 0.18	0.7
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.10, 0.01	0.14
age	0.28	0.22, 0.34	<0.001
sexe	0.20	0.08, 0.31	<0.001
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.04	-0.09, 0.17	0.5
niveau études mineurs	0.01	-0.13, 0.16	0.8
apoe.reg2	0.33	0.25, 0.42	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.04	-0.10, 0.02	0.2
age	0.27	0.21, 0.33	<0.001
sexe	0.17	0.06, 0.28	0.002
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.02	-0.15, 0.10	0.7
niveau études mineurs	-0.22	-0.37, -0.07	0.004
apoe.reg2	0.29	0.21, 0.38	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.02	-0.08, 0.04	0.5
age	0.27	0.21, 0.33	<0.001
sexe	0.17	0.06, 0.28	0.003
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.02	-0.15, 0.11	0.8
niveau études mineurs	-0.21	-0.36, -0.06	0.006
apoe.reg2	0.29	0.20, 0.37	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
ch	-0.01	-0.16, 0.14	>0.9
dia	-0.16	-0.38, 0.06	0.2
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.01	-0.07, 0.05	0.7
age	0.26	0.20, 0.32	<0.001
sexe	0.16	0.05, 0.27	0.005
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.01	-0.13, 0.12	>0.9
niveau études mineurs	-0.19	-0.34, -0.04	0.011
apoe.reg2	0.28	0.20, 0.36	<0.001
mmse	-0.05	-0.06, -0.04	<0.001
ch	0.00	-0.15, 0.15	>0.9
dia	-0.16	-0.38, 0.07	0.2
imc	-0.01	-0.02, 0.00	<0.001
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
glucose_jeun	-0.06	-0.12, 0.00	0.046	-0.04	-0.10, 0.02	0.2	-0.04	-0.10, 0.01	0.14	-0.04	-0.10, 0.02	0.2	-0.02	-0.08, 0.04	0.5	-0.01	-0.07, 0.05	0.7
age	0.27	0.21, 0.34	<0.001	0.28	0.22, 0.35	<0.001	0.28	0.22, 0.34	<0.001	0.27	0.21, 0.33	<0.001	0.27	0.21, 0.33	<0.001	0.26	0.20, 0.32	<0.001
sexe				0.20	0.08, 0.32	<0.001	0.20	0.08, 0.31	<0.001	0.17	0.06, 0.28	0.002	0.17	0.06, 0.28	0.003	0.16	0.05, 0.27	0.005
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				0.06	-0.07, 0.20	0.3	0.04	-0.09, 0.17	0.5	-0.02	-0.15, 0.10	0.7	-0.02	-0.15, 0.11	0.8	-0.01	-0.13, 0.12	>0.9
niveau études mineurs				0.03	-0.12, 0.18	0.7	0.01	-0.13, 0.16	0.8	-0.22	-0.37, -0.07	0.004	-0.21	-0.36, -0.06	0.006	-0.19	-0.34, -0.04	0.011
apoe.reg2							0.33	0.25, 0.42	<0.001	0.29	0.21, 0.38	<0.001	0.29	0.20, 0.37	<0.001	0.28	0.20, 0.36	<0.001
mmse										-0.05	-0.06, -0.04	<0.001	-0.05	-0.06, -0.04	<0.001	-0.05	-0.06, -0.04	<0.001
ch													-0.01	-0.16, 0.14	>0.9	0.00	-0.15, 0.15	>0.9
dia													-0.16	-0.38, 0.06	0.2	-0.16	-0.38, 0.07	0.2
imc																-0.01	-0.02, 0.00	<0.001
¹ CI = Confidence Interval

Ptau

Tableau de fréquence

	ptau elevé (N=495)	ptau normal (N=481)	Total (N=976)	p value
Age				< 0.001
- Mean (SD)	71.531 (8.008)	67.744 (9.346)	69.665 (8.893)
- Range	50.000 - 89.000	42.000 - 88.000	42.000 - 89.000
Sexe				0.006
- Femme	290 (58.6%)	240 (49.9%)	530 (54.3%)
- Homme	205 (41.4%)	241 (50.1%)	446 (45.7%)
Glucose				0.318
- Mean (SD)	5.701 (1.533)	5.809 (1.834)	5.754 (1.688)
- Range	0.920 - 20.900	0.720 - 24.500	0.720 - 24.500
Triglycerides				0.146
- Mean (SD)	0.936 (0.333)	0.967 (0.345)	0.951 (0.339)
- Range	0.340 - 1.970	0.150 - 1.970	0.150 - 1.970
Cholesterol				0.019
- Mean (SD)	2.155 (0.517)	2.078 (0.501)	2.117 (0.510)
- Range	1.030 - 6.640	0.820 - 5.900	0.820 - 6.640
Cholesterol hdl				< 0.001
- Mean (SD)	0.611 (0.161)	0.573 (0.157)	0.593 (0.160)
- Range	0.210 - 1.100	0.240 - 1.590	0.210 - 1.590
Cholesterol ldl				0.027
- Mean (SD)	1.348 (0.414)	1.292 (0.375)	1.321 (0.396)
- Range	0.360 - 2.970	0.200 - 2.380	0.200 - 2.970
Présence E4				< 0.001
- 0	219 (44.2%)	321 (66.7%)	540 (55.3%)
- 1	213 (43.0%)	139 (28.9%)	352 (36.1%)
- 2	63 (12.7%)	21 (4.4%)	84 (8.6%)
MMSE				< 0.001
- Mean (SD)	21.477 (5.299)	23.528 (4.846)	22.488 (5.181)
- Range	6.000 - 30.000	4.000 - 30.000	4.000 - 30.000
Traitement cholesterol				0.153
- 0	413 (83.4%)	417 (86.7%)	830 (85.0%)
- 1	82 (16.6%)	64 (13.3%)	146 (15.0%)
Traitement Diabete				0.081
- 0	467 (94.3%)	440 (91.5%)	907 (92.9%)
- 1	28 (5.7%)	41 (8.5%)	69 (7.1%)
Niveau d’étude				0.734
- N-Miss	33	33	66
- études supérieurs	169 (36.6%)	171 (38.2%)	340 (37.4%)
- niveau études intermédiaires	165 (35.7%)	163 (36.4%)	328 (36.0%)
- niveau études mineurs	128 (27.7%)	114 (25.4%)	242 (26.6%)

Ptau en Catégorie

Association avec le cholestérol

## [1] "N = 1009"

Modèle 1

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.20	1.06, 1.38	0.006
age	1.72	1.48, 2.00	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 2

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.14	1.00, 1.32	0.060
age	1.75	1.50, 2.04	<0.001
sexe	1.42	1.09, 1.87	0.010
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.20	0.89, 1.62	0.2
niveau études mineurs	1.09	0.79, 1.51	0.6
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 3

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.10	0.95, 1.27	0.2
age	1.77	1.52, 2.07	<0.001
sexe	1.49	1.13, 1.97	0.005
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.13	0.83, 1.54	0.4
niveau études mineurs	1.04	0.75, 1.46	0.8
apoe.reg2	2.01	1.64, 2.49	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 4

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.10	0.96, 1.27	0.2
age	1.77	1.51, 2.08	<0.001
sexe	1.43	1.08, 1.90	0.013
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.01	0.74, 1.38	>0.9
niveau études mineurs	0.74	0.51, 1.07	0.11
apoe.reg2	1.90	1.54, 2.35	<0.001
mmse	0.93	0.90, 0.96	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 5

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.10	0.95, 1.28	0.2
age	1.76	1.50, 2.07	<0.001
sexe	1.41	1.06, 1.87	0.017
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.01	0.74, 1.39	>0.9
niveau études mineurs	0.75	0.52, 1.09	0.13
apoe.reg2	1.89	1.53, 2.34	<0.001
mmse	0.93	0.90, 0.96	<0.001
ch	1.18	0.81, 1.73	0.4
dia	0.75	0.45, 1.24	0.3
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 6

## Warning: glm.fit: des probabilités ont été ajustées numériquement à 0 ou 1

Characteristic	OR¹	95% CI¹	p-value
cholesterol_total	1.07	0.93, 1.24	0.3
age	1.72	1.46, 2.03	<0.001
sexe	1.34	1.01, 1.79	0.044
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.07	0.78, 1.48	0.7
niveau études mineurs	0.83	0.57, 1.20	0.3
apoe.reg2	1.86	1.50, 2.31	<0.001
mmse	0.93	0.90, 0.96	<0.001
ch	1.21	0.82, 1.77	0.3
dia	0.82	0.49, 1.36	0.4
imc	0.94	0.91, 0.97	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value
cholesterol_total	1.20	1.06, 1.38	0.006	1.14	1.00, 1.32	0.060	1.10	0.95, 1.27	0.2	1.10	0.96, 1.27	0.2	1.10	0.95, 1.28	0.2	1.07	0.93, 1.24	0.3
age	1.72	1.48, 2.00	<0.001	1.75	1.50, 2.04	<0.001	1.77	1.52, 2.07	<0.001	1.77	1.51, 2.08	<0.001	1.76	1.50, 2.07	<0.001	1.72	1.46, 2.03	<0.001
sexe				1.42	1.09, 1.87	0.010	1.49	1.13, 1.97	0.005	1.43	1.08, 1.90	0.013	1.41	1.06, 1.87	0.017	1.34	1.01, 1.79	0.044
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				1.20	0.89, 1.62	0.2	1.13	0.83, 1.54	0.4	1.01	0.74, 1.38	>0.9	1.01	0.74, 1.39	>0.9	1.07	0.78, 1.48	0.7
niveau études mineurs				1.09	0.79, 1.51	0.6	1.04	0.75, 1.46	0.8	0.74	0.51, 1.07	0.11	0.75	0.52, 1.09	0.13	0.83	0.57, 1.20	0.3
apoe.reg2							2.01	1.64, 2.49	<0.001	1.90	1.54, 2.35	<0.001	1.89	1.53, 2.34	<0.001	1.86	1.50, 2.31	<0.001
mmse										0.93	0.90, 0.96	<0.001	0.93	0.90, 0.96	<0.001	0.93	0.90, 0.96	<0.001
ch													1.18	0.81, 1.73	0.4	1.21	0.82, 1.77	0.3
dia													0.75	0.45, 1.24	0.3	0.82	0.49, 1.36	0.4
imc																0.94	0.91, 0.97	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Association avec le glucose

## [1] "N = 1038"

Modèle 1

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.86	0.75, 0.98	0.023
age	1.71	1.48, 1.98	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 2

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.89	0.78, 1.02	0.093
age	1.75	1.51, 2.04	<0.001
sexe	1.45	1.12, 1.88	0.005
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.17	0.87, 1.57	0.3
niveau études mineurs	1.06	0.77, 1.47	0.7
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 3

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.88	0.77, 1.00	0.062
age	1.77	1.52, 2.07	<0.001
sexe	1.46	1.12, 1.91	0.005
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.11	0.82, 1.51	0.5
niveau études mineurs	1.02	0.74, 1.43	0.9
apoe.reg2	2.04	1.66, 2.51	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 4

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.88	0.77, 1.01	0.066
age	1.77	1.52, 2.07	<0.001
sexe	1.41	1.07, 1.84	0.013
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.01	0.75, 1.38	>0.9
niveau études mineurs	0.72	0.50, 1.03	0.077
apoe.reg2	1.94	1.58, 2.40	<0.001
mmse	0.93	0.90, 0.96	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 5

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.90	0.78, 1.05	0.2
age	1.75	1.50, 2.05	<0.001
sexe	1.40	1.07, 1.84	0.014
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.02	0.75, 1.38	>0.9
niveau études mineurs	0.72	0.50, 1.03	0.076
apoe.reg2	1.92	1.56, 2.38	<0.001
mmse	0.93	0.90, 0.96	<0.001
ch	1.25	0.87, 1.81	0.2
dia	0.77	0.45, 1.32	0.3
¹ OR = Odds Ratio, CI = Confidence Interval

Modèle 6

## Warning: glm.fit: des probabilités ont été ajustées numériquement à 0 ou 1

Characteristic	OR¹	95% CI¹	p-value
glucose_jeun	0.95	0.82, 1.11	0.5
age	1.70	1.45, 2.00	<0.001
sexe	1.34	1.02, 1.77	0.034
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	1.07	0.79, 1.47	0.7
niveau études mineurs	0.79	0.55, 1.15	0.2
apoe.reg2	1.86	1.51, 2.31	<0.001
mmse	0.93	0.90, 0.96	<0.001
ch	1.30	0.90, 1.89	0.2
dia	0.79	0.46, 1.36	0.4
imc	0.94	0.91, 0.97	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value	OR¹	95% CI¹	p-value
glucose_jeun	0.86	0.75, 0.98	0.023	0.89	0.78, 1.02	0.093	0.88	0.77, 1.00	0.062	0.88	0.77, 1.01	0.066	0.90	0.78, 1.05	0.2	0.95	0.82, 1.11	0.5
age	1.71	1.48, 1.98	<0.001	1.75	1.51, 2.04	<0.001	1.77	1.52, 2.07	<0.001	1.77	1.52, 2.07	<0.001	1.75	1.50, 2.05	<0.001	1.70	1.45, 2.00	<0.001
sexe				1.45	1.12, 1.88	0.005	1.46	1.12, 1.91	0.005	1.41	1.07, 1.84	0.013	1.40	1.07, 1.84	0.014	1.34	1.02, 1.77	0.034
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				1.17	0.87, 1.57	0.3	1.11	0.82, 1.51	0.5	1.01	0.75, 1.38	>0.9	1.02	0.75, 1.38	>0.9	1.07	0.79, 1.47	0.7
niveau études mineurs				1.06	0.77, 1.47	0.7	1.02	0.74, 1.43	0.9	0.72	0.50, 1.03	0.077	0.72	0.50, 1.03	0.076	0.79	0.55, 1.15	0.2
apoe.reg2							2.04	1.66, 2.51	<0.001	1.94	1.58, 2.40	<0.001	1.92	1.56, 2.38	<0.001	1.86	1.51, 2.31	<0.001
mmse										0.93	0.90, 0.96	<0.001	0.93	0.90, 0.96	<0.001	0.93	0.90, 0.96	<0.001
ch													1.25	0.87, 1.81	0.2	1.30	0.90, 1.89	0.2
dia													0.77	0.45, 1.32	0.3	0.79	0.46, 1.36	0.4
imc																0.94	0.91, 0.97	<0.001
¹ OR = Odds Ratio, CI = Confidence Interval

Ptau en Continue

Association avec le cholestérol

## [1] "N = 1009"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.01, 0.13	0.018
age	0.26	0.19, 0.33	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.05	-0.02, 0.11	0.14
age	0.26	0.20, 0.33	<0.001
sexe	0.18	0.05, 0.30	0.005
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.06	-0.08, 0.20	0.4
niveau études mineurs	0.06	-0.09, 0.21	0.5
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.02	-0.04, 0.09	0.4
age	0.26	0.19, 0.33	<0.001
sexe	0.19	0.07, 0.31	0.002
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.02	-0.11, 0.16	0.7
niveau études mineurs	0.03	-0.11, 0.18	0.7
apoe.reg2	0.35	0.26, 0.44	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.03	-0.03, 0.09	0.4
age	0.25	0.19, 0.32	<0.001
sexe	0.17	0.05, 0.29	0.005
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.03	-0.16, 0.10	0.7
niveau études mineurs	-0.13	-0.29, 0.02	0.087
apoe.reg2	0.32	0.23, 0.40	<0.001
mmse	-0.04	-0.05, -0.02	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.02	-0.04, 0.08	0.5
age	0.25	0.19, 0.32	<0.001
sexe	0.16	0.04, 0.28	0.008
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.03	-0.16, 0.11	0.7
niveau études mineurs	-0.12	-0.28, 0.04	0.13
apoe.reg2	0.31	0.23, 0.40	<0.001
mmse	-0.03	-0.05, -0.02	<0.001
ch	0.01	-0.15, 0.17	>0.9
dia	-0.16	-0.37, 0.06	0.2
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
cholesterol_total	0.02	-0.04, 0.08	0.5
age	0.25	0.18, 0.31	<0.001
sexe	0.15	0.03, 0.27	0.014
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	-0.01	-0.15, 0.12	0.8
niveau études mineurs	-0.11	-0.26, 0.05	0.2
apoe.reg2	0.31	0.22, 0.39	<0.001
mmse	-0.03	-0.05, -0.02	<0.001
ch	0.01	-0.15, 0.17	>0.9
dia	-0.14	-0.36, 0.07	0.2
imc	-0.01	-0.01, 0.00	0.009
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
cholesterol_total	0.07	0.01, 0.13	0.018	0.05	-0.02, 0.11	0.14	0.02	-0.04, 0.09	0.4	0.03	-0.03, 0.09	0.4	0.02	-0.04, 0.08	0.5	0.02	-0.04, 0.08	0.5
age	0.26	0.19, 0.33	<0.001	0.26	0.20, 0.33	<0.001	0.26	0.19, 0.33	<0.001	0.25	0.19, 0.32	<0.001	0.25	0.19, 0.32	<0.001	0.25	0.18, 0.31	<0.001
sexe				0.18	0.05, 0.30	0.005	0.19	0.07, 0.31	0.002	0.17	0.05, 0.29	0.005	0.16	0.04, 0.28	0.008	0.15	0.03, 0.27	0.014
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				0.06	-0.08, 0.20	0.4	0.02	-0.11, 0.16	0.7	-0.03	-0.16, 0.10	0.7	-0.03	-0.16, 0.11	0.7	-0.01	-0.15, 0.12	0.8
niveau études mineurs				0.06	-0.09, 0.21	0.5	0.03	-0.11, 0.18	0.7	-0.13	-0.29, 0.02	0.087	-0.12	-0.28, 0.04	0.13	-0.11	-0.26, 0.05	0.2
apoe.reg2							0.35	0.26, 0.44	<0.001	0.32	0.23, 0.40	<0.001	0.31	0.23, 0.40	<0.001	0.31	0.22, 0.39	<0.001
mmse										-0.04	-0.05, -0.02	<0.001	-0.03	-0.05, -0.02	<0.001	-0.03	-0.05, -0.02	<0.001
ch													0.01	-0.15, 0.17	>0.9	0.01	-0.15, 0.17	>0.9
dia													-0.16	-0.37, 0.06	0.2	-0.14	-0.36, 0.07	0.2
imc																-0.01	-0.01, 0.00	0.009
¹ CI = Confidence Interval

Association avec le glucose

## [1] "N = 1038"

Modèle 1

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.06	-0.12, 0.00	0.039
age	0.26	0.20, 0.32	<0.001
¹ CI = Confidence Interval

Modèle 2

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.10, 0.01	0.13
age	0.27	0.20, 0.33	<0.001
sexe	0.16	0.04, 0.28	0.008
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.08	-0.06, 0.21	0.3
niveau études mineurs	0.06	-0.08, 0.21	0.4
¹ CI = Confidence Interval

Modèle 3

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.11, 0.01	0.087
age	0.26	0.20, 0.33	<0.001
sexe	0.16	0.04, 0.27	0.008
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.05	-0.08, 0.18	0.4
niveau études mineurs	0.05	-0.10, 0.19	0.5
apoe.reg2	0.34	0.25, 0.42	<0.001
¹ CI = Confidence Interval

Modèle 4

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.05	-0.10, 0.01	0.10
age	0.25	0.19, 0.32	<0.001
sexe	0.14	0.02, 0.25	0.017
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.00	-0.13, 0.13	>0.9
niveau études mineurs	-0.13	-0.28, 0.02	0.094
apoe.reg2	0.30	0.22, 0.39	<0.001
mmse	-0.04	-0.05, -0.02	<0.001
¹ CI = Confidence Interval

Modèle 5

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.03	-0.09, 0.03	0.3
age	0.25	0.19, 0.32	<0.001
sexe	0.14	0.02, 0.25	0.018
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.01	-0.12, 0.13	>0.9
niveau études mineurs	-0.13	-0.28, 0.03	0.11
apoe.reg2	0.30	0.21, 0.39	<0.001
mmse	-0.04	-0.05, -0.02	<0.001
ch	0.04	-0.11, 0.19	0.6
dia	-0.14	-0.37, 0.09	0.2
¹ CI = Confidence Interval

Modèle 6

Characteristic	Beta	95% CI¹	p-value
glucose_jeun	-0.03	-0.09, 0.04	0.4
age	0.25	0.18, 0.31	<0.001
sexe	0.13	0.01, 0.24	0.030
niveau_etude_reg
études supérieurs	—	—
niveau études intermédiaires	0.02	-0.11, 0.15	0.8
niveau études mineurs	-0.11	-0.26, 0.04	0.2
apoe.reg2	0.29	0.21, 0.38	<0.001
mmse	-0.04	-0.05, -0.02	<0.001
ch	0.04	-0.11, 0.20	0.6
dia	-0.14	-0.36, 0.09	0.2
imc	-0.01	-0.01, 0.00	0.005
¹ CI = Confidence Interval

Tableau récapitulatif

Characteristic	Modèle 1			Modèle 2			Modèle 3			Modèle 4			Modèle 5			Modèle 6
Characteristic	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value	Beta	95% CI¹	p-value
glucose_jeun	-0.06	-0.12, 0.00	0.039	-0.05	-0.10, 0.01	0.13	-0.05	-0.11, 0.01	0.087	-0.05	-0.10, 0.01	0.10	-0.03	-0.09, 0.03	0.3	-0.03	-0.09, 0.04	0.4
age	0.26	0.20, 0.32	<0.001	0.27	0.20, 0.33	<0.001	0.26	0.20, 0.33	<0.001	0.25	0.19, 0.32	<0.001	0.25	0.19, 0.32	<0.001	0.25	0.18, 0.31	<0.001
sexe				0.16	0.04, 0.28	0.008	0.16	0.04, 0.27	0.008	0.14	0.02, 0.25	0.017	0.14	0.02, 0.25	0.018	0.13	0.01, 0.24	0.030
niveau_etude_reg
études supérieurs				—	—		—	—		—	—		—	—		—	—
niveau études intermédiaires				0.08	-0.06, 0.21	0.3	0.05	-0.08, 0.18	0.4	0.00	-0.13, 0.13	>0.9	0.01	-0.12, 0.13	>0.9	0.02	-0.11, 0.15	0.8
niveau études mineurs				0.06	-0.08, 0.21	0.4	0.05	-0.10, 0.19	0.5	-0.13	-0.28, 0.02	0.094	-0.13	-0.28, 0.03	0.11	-0.11	-0.26, 0.04	0.2
apoe.reg2							0.34	0.25, 0.42	<0.001	0.30	0.22, 0.39	<0.001	0.30	0.21, 0.39	<0.001	0.29	0.21, 0.38	<0.001
mmse										-0.04	-0.05, -0.02	<0.001	-0.04	-0.05, -0.02	<0.001	-0.04	-0.05, -0.02	<0.001
ch													0.04	-0.11, 0.19	0.6	0.04	-0.11, 0.20	0.6
dia													-0.14	-0.37, 0.09	0.2	-0.14	-0.36, 0.09	0.2
imc																-0.01	-0.01, 0.00	0.005
¹ CI = Confidence Interval

# Export BDD avec scale variable

"data_export = data.frame(abeta42_continu = data2$abeta42_,
                         abeta_42_modalite = data2$abeta42t2,
                         tau_continu = data2$tau_,
                         tau_modalite = data2$taut2,
                         glucose = data2$glucose_jeun,
                         glucose_std = scale(data2$glucose_jeun),
                         triglycerides = data2$triglycerides,
                         triglycerides_std = scale(data2$triglycerides),
                         cholesterol_total = data2$cholesterol_total,
                         cholesterol_total_std = scale(data2$cholesterol_total),
                         cholesterol_hdl = data2$cholesterol_hdl,
                         cholesterol_hdl.std = scale(data2$cholesterol_hdl),
                         cholesterol_ldl = data2$cholesterol_ldl,
                         cholesterol_ldl.std = scale(data2$cholesterol_ldl),
                         education = data2$niveau_etude_reg,
                         age = data2$age,
                         sexe = data2$sexe_reg,
                         apoe = data2$apoe,
                         traitement_chol = data2$ch,
                         traitement_dia = data2$dia,
                         mmse = data2$mmse,
                         imc = data2$imc
                         )"

## [1] "data_export = data.frame(abeta42_continu = data2$abeta42_,\n                         abeta_42_modalite = data2$abeta42t2,\n                         tau_continu = data2$tau_,\n                         tau_modalite = data2$taut2,\n                         glucose = data2$glucose_jeun,\n                         glucose_std = scale(data2$glucose_jeun),\n                         triglycerides = data2$triglycerides,\n                         triglycerides_std = scale(data2$triglycerides),\n                         cholesterol_total = data2$cholesterol_total,\n                         cholesterol_total_std = scale(data2$cholesterol_total),\n                         cholesterol_hdl = data2$cholesterol_hdl,\n                         cholesterol_hdl.std = scale(data2$cholesterol_hdl),\n                         cholesterol_ldl = data2$cholesterol_ldl,\n                         cholesterol_ldl.std = scale(data2$cholesterol_ldl),\n                         education = data2$niveau_etude_reg,\n                         age = data2$age,\n                         sexe = data2$sexe_reg,\n                         apoe = data2$apoe,\n                         traitement_chol = data2$ch,\n                         traitement_dia = data2$dia,\n                         mmse = data2$mmse,\n                         imc = data2$imc\n                         )"

#write.csv(data_export,"//172.27.137.244/g_boilay/alternance/export/data_export.csv")

Visualisation Compte Rendu

Geoffrey BOILAY

28 août, 2023

Contexte

Objectif

Analyses des variables

Dimension de la BDD

Variables socio-démographique

Age

Summary

Boxplot

Histogramme

Sexe

Distribution

Niveau d’étude

Légende

Modalités normales

Recodage des Modalités

Barplot

Statut Marital

Distribution

Barplot

Nombre d’enfants

Modalités normales

Recodage des Modalités

Barplot

Mode de vie

Distribution

Barplot

Comportement de santé

Tabac

Distribution

Barplot

Alcool

Distribution

Barplot

Variables de santé

IMC

Summary

Boxplot

Histogramme

Découpage

Barplot

Fréquence Cardiaque

Summary

Boxplot

Histogramme

Distribution

Tension Artérielle Systolique

Summary

Boxplot

Histogramme

Tension Artérielle Diastolique

Summary

Boxplot

Histogramme

Hyper Tension Artérielle

Distribution

Barplot

Dyslipidemie

Distribution

Barplot

Les traitements

Table médicament restant

MMSE

Score MMSE le plus proche de la PL

Summary

Boxplot

Histogramme

Découpage

Barplot

Dernier Score MMSE réalisé (en j)

Summary

Boxplot

Histogramme

Différence entre le premier et dernier Score MMSE (en j)

Summary

Boxplot

Histogramme

Nombre de Score MMSE avant la PL